Zeid Data Research

Security research, detection engineering, data tooling, automation, and public-safe experiments.
Built for receipts, not vibes. The robot is friendly. The pipeline is not.

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What this repo is

This is the public Zeid Data research lab for security-focused software, analytics workflows, detection engineering, malware research notes, automation scripts, templates, white papers, and workbook artifacts.

The operating model is simple:

collect -> normalize -> analyze -> validate -> document -> ship with receipts

If a tool cannot explain what it read, what it changed, and what evidence supports the output, it gets escorted back to the lab bench by a disappointed robot.

Lab Map

Area	What it is for	Docs
Content	Vendor packs, field guides, governance content, and reusable evidence material.	content/README.md
Detections	Detection rules, defensive analytics, signal logic, and security queries.	detections/README.md
Docs	Design notes, standards, implementation notes, and operating guidance.	docs/README.md
Projects	Project workspaces, prototypes, and active experiments.	projects/README.md
Research	Research material, malware analysis, white papers, and experiments.	research/README.md
Scripts	Automation helpers, validators, collectors, and repeatable operations.	tools/scripts/README.md
Templates	Reusable documentation, reporting, and delivery templates.	templates/README.md
Workbooks	Dashboard, workbook, and visual analytics artifacts.	workbooks/README.md
Security Policy	Security reporting and supported vulnerability disclosure path.	SECURITY.md
License	Repository usage terms and attribution requirements.	LICENSE.md

Tags

Current documentation standards

The documentation refresh adds a clearer structure for keeping the repo current:

• docs/README.md is the documentation index.
• docs/taxonomy.md defines what belongs where.
• docs/standards/evidence.md defines what counts as traceable evidence.
• docs/automation.md proposes scheduled maintenance for inventories, stale-doc checks, link checks, and weekly digest drafts.

Featured operating principles

Evidence first

Outputs should be traceable to inputs. Prefer structured results, stable schemas, reproducible runs, and documented assumptions over hand-wavy "seems fine" engineering.

Defensive and authorized

Security material in this repository is intended for authorized research, defensive testing, privacy review, detection engineering, and audit workflows. It is not a guide for credential theft, unauthorized access, stealth, evasion, abuse, or bypassing protections.

Automation with guardrails

Scripts should be non-interactive where possible, explicit about inputs and outputs, safe to run in controlled environments, and clear about failure modes. If a command can break something, it should say what it touches before it touches it.

Robot humor, human accountability

The lab voice can be weird. The engineering cannot be. Jokes are allowed. Fake claims are not.

How to use this repo

Start by inspecting the area that matches your goal.

git clone https://github.com/zeiddata-dev/Research.git
cd Research

find . -maxdepth 2 -name README.md -print | sort
find . -maxdepth 2 -type f \( -name 'requirements*.txt' -o -name 'pyproject.toml' -o -name 'package.json' -o -name 'Makefile' \) -print | sort

Then read the module-level documentation before running tools. Different folders may have different requirements, assumptions, and safety boundaries.

Quality bar

Good additions should include:

• A clear purpose.
• Safe default behavior.
• Public-safe documentation.
• Reproducible commands or tests where applicable.
• Machine-readable output when the artifact is meant for automation.
• Explicit assumptions and limits.
• No secrets, tokens, private URLs, private logs, or personal data.

Recommended update cadence

Use automation to keep the repo current without allowing automation to invent research.

Cadence	Action	Output
Weekly	Build documentation inventory and link-check report.	PR updating generated docs inventory.
Weekly	Draft repo activity digest from changed files and merged PRs.	Draft Markdown digest for review.
Monthly	Flag stale docs based on last_reviewed metadata.	Issue or PR listing review-needed docs.
Pull request	Check README coverage for new folders.	Pass/fail report with missing documentation fields.

Start with the inventory job from docs/automation.md. It gives the highest signal with the lowest risk.

Security and responsible disclosure

Do not open public issues for sensitive vulnerabilities. Use the repository security policy for reporting guidance: SECURITY.md.

Security research in this repo should remain authorized, defensive, and privacy-preserving. The lab does not need surprise crimes in the test suite.

GitHub profile draft

This repository is not the special .github profile repository, so the reusable profile README draft lives here:

docs/guides/profile-readme.md

Copy that file into .github/profile/README.md in the Zeid Data GitHub profile repository when ready.

Maintainer notes

• Keep links real.
• Keep examples sanitized.
• Keep claims tied to repo contents.
• Keep generated assets local when practical.
• Keep the robot jokes, but do not let them drive architecture.

License

This repository uses the MIT License unless a subfolder states otherwise. See LICENSE.md.